基于集对分析的上下文感知不确定性的推理方法

An Uncertainty Reasoning Approach Based on Set Pair Analysis for Context Awareness

在上下文感知计算应用中,需要对传感器获取的原始上下文数据进行推理、融合以获取高层上下文信息。利用集对分析(SPA)的思想,提出一种利用同异反向量夹角余弦来对不确定性上下文进行推理的方法。通过对智能空间场景中不确定上下文状态推理的实例分析、比较,表明该方法概念清晰、计算简明,具有较强的实用价值和较高的可靠性。

In the applications of context awareness computing, it is required that the reasoning and fusion of original context data must be executed to obtain higher level context information. A new uncertainty reasoning approach is presented by way of the cosine of identical discrepant contrary vector angle based on set pair analysis （SPA）. The practical instance analysis and comparison of uncertain context reasoning in the intelligent space scene indicates that the concept is clear and the computing is concise. It also proves the preferable practicability and perfect reliability of the approach.